Core Viewpoint - The article highlights the advancements and strategic vision of the company 越疆 in the field of robotics, particularly through its "Super Factory" platform that integrates various types of robots for collaborative tasks, marking a significant evolution in industrial automation towards flexible manufacturing [2][3][5]. Group 1: Super Factory Concept - 越疆's "Super Factory" system employs a "centralized decision-making + distributed execution" architecture, achieving the world's first regular collaborative operation of multi-modal general-purpose embodied robots [3][5]. - The system integrates various robot types, including humanoid, wheeled, and multi-legged robots, transitioning from traditional execution tools to intelligent agents with "perception-decision-execution" capabilities [3][5]. Group 2: Technological Advancements - The company has built a robust foundation over the past decade, evolving from collaborative robotic arms to a multi-modal embodied intelligence platform, driven by self-research technology and practical applications [5][15]. - Key breakthroughs in core components such as servo drives and AI technologies like visual perception and force control have enhanced the robots' decision-making capabilities [5][15]. Group 3: Robot Types and Functions - The "Super Factory" employs four types of robots, each with specific roles: - Humanoid robots for fine operations and multi-tasking [7][10] - Wheeled robots for material transport and rapid response [7] - Multi-legged robots for inspections and transport in unstructured environments [7] - Collaborative robotic arms for high-precision flexible tasks [7][9]. Group 4: Industry Impact and Collaboration - 越疆 has established a strong presence in over 100 countries, collaborating with more than 80 Fortune 500 companies, which has enriched its industry knowledge and practical expertise [15][17]. - The company initiated a collaborative action with 300 global manufacturing enterprises to promote the integration of embodied intelligent robotics into manufacturing environments, emphasizing data-driven technological evolution [15][17]. Group 5: Future Prospects - The "Super Factory" platform's compatibility and ease of deployment allow companies to integrate multiple robots without significant modifications to existing production lines, fostering a continuous improvement cycle [17]. - As humanoid robots and embodied intelligence technologies mature, 越疆 is positioned to play a crucial role in the global smart manufacturing wave, showcasing its capability for system-level innovation [17].

当机器人不仅能"看见"世界，还能像人一样"理解"并"适应"世界，人工智能便迈入了"具身智能"的新纪元。 清华 大学人工智能研究院智能机器人中心主任孙富春教授 在今天举行的2025浦江创新论坛具身智能前沿技术论坛上指 出， 未来的智能机器人，将不再是执行预设指令的"工具"，而是能在真实物理世界中自主思考、学习和进化 的"生命体" 。 "开窍" 让机器人泡茶，它不仅要完成烧水、取茶、泡茶的流程，更要具备"推理"能力——当发现茶叶用完时，能自主规 划去储物柜寻找替代品，这才是真正的具身智能。孙富春指出，传统机器人如同"死记硬背"的学生，环境稍有变 化便束手无策，而具身智能的目标，是让机器拥有"举一反三"的能力。 目前，已有不少"云端边"案例在工业领域有很好的应用。他介绍，"云端大模型+边缘小模型"的分布式架构，是实 现高效、安全、通用物理智能的一种路径。 未来 这种能力，取决于"策略泛化"与"场景泛化"的能力。"开了上海的门，也能开北京的门。"他打比方解释说，无论 是精致的旋钮还是粗犷的拉手，机器人都能适应，这背后是智能的"鲁棒性"，是摆脱对海量特定数据依赖的关 键。 "发育" 人类通过长期训练，让身体与神经形成并 ...

以下文章来源于具身智能观察室 ，作者Baiyang 具身智能观察室 . 具身智能、机器人、AI大模型等前沿技术以及行业资讯分享 在2025年5月上海张江的一场人形机器人展示会上，GR-1双足机器人随着观众指令灵活挥动机械臂，Fourier N1 开源机器人（该机器人的技术资料公开、代码共享）则安静地在会场边缘踱步。 这一幕看似平常，却标志着傅利叶智能创始人顾捷十年创业历程的重要节点——从康复机器人到具身智能的跨 越。 作为中国康复机器人领域的领军人物，顾捷对具身智能有着独特而深刻的见解，他的思考既源于二十余年机器人 研发的实践积淀，也来自于对技术发展趋势的前瞻洞察。 图片来源自企业官方网站 以下内容综合自顾捷接受澎湃新闻、虎嗅、机器家等媒体与自媒体专访内容： 一、具身智能的缘起：从康复需求到技术觉醒 顾捷对具身智能的思考始于一次汶川地震后的深刻触动。 在顾捷看来，具身智能并非突然出现的技术概念，而是机器人发展历程中的必然阶段。 "从早期的工业机械臂到康复外骨骼，再到如今的人形机器人，本质上都是机器人'身体'与'智能'结合程度的深 化。"他解释道。 傅利叶早期开发的Flexbot外骨骼原型机虽然笨重且功能有限， ...

近日，在南海的晨光中，一台直径约70厘米的水下机器人以优雅的弧线潜入碧波。它紧贴海底，距珊瑚礁盘仅几 厘米，轻巧游动，四周沉积物只泛起细微涟漪。即便鱼群突然掠过，它也能灵巧扭动，从缝隙中穿梭而过，宛如 海底飞盘般敏捷。 这一公式为科研人员提供了极大的便利。在研发初期，他们就可以通过这一公式预测并确定机器人构型的低扰动 性能，无须在实际机器人上进行反复试验验证。这极大地提高了研发效率。 这是 哈尔滨工程大学船舶与工程学院王刚教授团队研发的敏捷型水下机器人"海龟" 的真实工作场景。它不仅 实 现了近海底环境观测的厘米级突破 ，更以灵动身姿颠覆了传统水下机器人"笨拙""僵硬"的刻板印象， 开启一个更 加精准、高效、环保的水下探测新时代 。 哈尔滨工程大学供图 ▎沉积物干扰 降低90% "我们的深潜器每次抵达海底，都要先等沉积物散去才能工作，这个过程需要很长时间。"在一次学术会议上，王 刚听到这句抱怨时，职业敏感让他心头一震。 在水下机器人领域深耕十余载，王刚深知传统底栖机器人地形适应能力弱，螺旋桨搅起的泥沙会破坏海底生态， 更让观测数据蒙上"迷雾"。而全球珊瑚礁正以惊人速度退化，受限于暗流与深度，潜水员每年仅有两次 ...

关于征集"中国机电一体化技术应用协会具身智能分会"发起单位的通知 中机电协〔2025〕48号 各有关单位： 为贯彻落实党的二十大提出的前瞻谋划未来产业，抢占科技革命制高点重要精神，本着充分发挥行业协会 的组织作用，整合资源协同解决具身智能在发展中遇到的挑战和问题，推动我国具身智能实现跨越式发展，为 经济高质量发展锻造新质生产力引擎。经研究决定，拟成立"中国机电一体化技术应用协会具身智能分会"。现 将有关事项通知如下： 一、具身智能分会成立背景 （一）具身智能战略价值与产业情况 2025年3月，中央政府工作报告明确提出培育具身智能未来产业。作为人工智能的前沿领域，具身智能融 合了人工智能、机器人技术、认知科学等多学科成果，使智能体能够在环境中完成感知、决策与行动的闭环， 实现高效人机协同，已成为新一轮科技革命和产业变革的关键驱动力。 当前，具身智能产业迅猛发展，仅2025上半年国内融资额突破230亿元。国际科技巨头也纷纷布局，具 身智能作为实现通用人工智能重要路径，在工业、物流、医疗、养老等领域潜力巨大。我国已涌现一批具身智 能领域创新企业，关键技术取得进展，场景应用持续拓展，多地出台政策持续加持。 （二）机电 ...

关于征集"中国机电一体化技术应用协会具身智能分会"发起单位的通知 中机电协〔2025〕48号 各有关单位： 为贯彻落实党的二十大提出的前瞻谋划未来产业，抢占科技革命制高点重要精神，本着充分发挥行业协会 的组织作用，整合资源协同解决具身智能在发展中遇到的挑战和问题，推动我国具身智能实现跨越式发展，为 经济高质量发展锻造新质生产力引擎。经研究决定，拟成立"中国机电一体化技术应用协会具身智能分会"。现 将有关事项通知如下： 一、具身智能分会成立背景 （一）具身智能战略价值与产业情况 2025年3月，中央政府工作报告明确提出培育具身智能未来产业。作为人工智能的前沿领域，具身智能融 合了人工智能、机器人技术、认知科学等多学科成果，使智能体能够在环境中完成感知、决策与行动的闭环， 实现高效人机协同，已成为新一轮科技革命和产业变革的关键驱动力。 当前，具身智能产业迅猛发展，仅2025上半年国内融资额突破230亿元。国际科技巨头也纷纷布局，具 身智能作为实现通用人工智能重要路径，在工业、物流、医疗、养老等领域潜力巨大。我国已涌现一批具身智 能领域创新企业，关键技术取得进展，场景应用持续拓展，多地出台政策持续加持。 （二）机电 ...

Core Viewpoint - The article emphasizes the high-risk nature of the robotics industry, highlighting a 98% failure rate and the long journey from startup to IPO, which typically takes 10-15 years without profitability at the time of IPO [2][11][63]. Group 1: Industry Overview - The robotics startup cycle is extremely lengthy, requiring at least 10-15 years to reach IPO, with no companies achieving profitability at that stage [7][29]. - Funding requirements are substantial, with companies needing to burn through 1-6 billion RMB from inception to IPO, depending on the type of robotics [8][39]. - The industry faces structural risks, including price wars, talent competition, and oversupply against insufficient demand [4][40]. Group 2: Key Success Factors - Founders must possess a combination of technical expertise, business acumen, and a missionary mindset to navigate the challenges of the industry [11][12]. - Cash flow management is critical, with a survival threshold of at least 24 months of cash reserves [5][32]. - Companies should focus on real customer pain points and validate their products through actual payments rather than relying solely on technology-driven approaches [19][20]. Group 3: Common Pitfalls - The majority of failures stem from funding issues, misalignment between product and market, and competitive pressures [50]. - High valuations can lead to a cycle of funding difficulties, where companies struggle to meet growth expectations set by previous rounds [31][51]. - Overexpansion and hiring without clear necessity can lead to financial strain and operational inefficiencies [54][56]. Group 4: Market Dynamics - The industry has experienced a dramatic decline in product prices, with some products dropping from 100,000 RMB to 10,000 RMB over the past 7-8 years [20][62]. - Companies face dual pressures from extending payment terms to customers while managing short payment cycles from suppliers, creating cash flow challenges [42]. - The competitive landscape is increasingly blurred, with cross-industry competition and a lack of differentiation among products [46][47]. Group 5: Survival Strategies - Companies should maintain a lean team structure, focusing on essential roles that directly contribute to product development and customer acquisition [22][26]. - It is crucial to establish long-term relationships with core customers and secure multi-year contracts to ensure revenue stability [60]. - Founders should prioritize cash management and avoid signing personal guarantees that could jeopardize their financial security [33][34].

"十四五"是我国科技事业发展历程中具有里程碑意义的五年。在党中央坚强领导下，在全社会共同努力下，我国 科技事业取得历史性成就，发生历史性变革。 9月18日， 国新办举行"高质量完成'十四五'规划"系列主题新闻发 布会。这场发布会 干货满满！ 一图带你速览"十四五"科技创新硬核成绩单—— 科技管理体制实现重塑 党中央对科技工作的集中统一领导进一步加强 成立中央科技委员会 中央科技委员会办事机构职责由重组后的 科学技术部整体承担 科技创新能力稳步提升 · 科技投入持续增加 · 基础研究水平进一步提升 基础研究经费达2497亿元 较2020年增长超70% 我国基础研究人才队伍由2021年的47.2万人年 增长到2023年的57.5万人年 ● ● ● ● ● 国家战略科技力量不断壮大 国家实验室体系建设稳步推进 国家科研机构、高水平研究型大学科研能力 不断提升 科技领军企业加快培育成长 2024年全社会研发投入超3.6万亿元 较2020年增长48% 研发人员总量世界第一 · 区域科技创新呈现良好态势 北京、上海、粤港澳大湾区国际科创中心支撑 引领和辐射带动作用不断增强 · 国家综合创新能力排名 由2020年的第14位 ...

Group 1 - The article announces the release of the 2025 Shanghai Science and Technology Committee's "Challenge and Lead" project guidelines, aimed at optimizing the organization of technology research projects and promoting breakthroughs in key industrial technologies [1] - The project is open to national universities, research institutions, enterprises, and social forces, with no industry restrictions on applicants, who must be domestic legal entities or organizations capable of project implementation [2] - All applicants must adhere to research integrity management requirements and ensure the authenticity of submitted materials, as well as comply with Chinese intellectual property laws [2][3] Group 2 - The deadline for project applications is set for October 20, 2025, at 16:30, with specific submission requirements outlined, including the need for a completed application form and proper documentation [4] - The project management will be conducted jointly by the Science and Technology Committee and the technical demand side, utilizing a meeting review method for project selection [6] - Contact information for consultation services is provided, including a specific contact person and phone number [7]

Core Insights - Huawei's "Intelligent World 2035" report outlines key technological trends and their impacts on various industries over the next decade, emphasizing the transformative potential of generative AI and the need for a forward-looking vision in technology [2][4]. Group 1: Key Technological Trends - Trend 1: AGI is expected to be the most transformative force in the next decade, but significant challenges must be overcome to achieve AGI breakthroughs [5]. - Trend 2: AI agents will evolve from execution tools to decision-making partners, driving industrial revolutions [5]. - Trend 3: Development models will change, with human-AI collaboration becoming mainstream, allowing humans to focus on design and innovation while AI handles coding tasks [5]. - Trend 4: Interaction methods will shift from graphical interfaces to natural language and multi-modal interactions, enhancing user experiences [5]. - Trend 5: Mobile apps will transition from standalone functions to AI-driven service nodes, providing users with seamless experiences [5]. - Trend 6: L4+ autonomous vehicles will become part of daily life, creating a "mobile third space" [5]. - Trend 7: By 2035, total computing power is projected to increase by 100,000 times, leading to disruptive innovations in computing architecture and paradigms [5]. - Trend 8: Data will become the "new fuel" for AI development, with storage needs expected to grow 500 times by 2025, accounting for over 70% of AI storage requirements [5]. - Trend 9: The number of connected entities will expand from 9 billion people to 900 billion intelligent agents, marking a shift from mobile internet to intelligent agent internet [5]. - Trend 10: Energy will be a critical factor for AI development, with renewable energy expected to surpass 50% of total generation by 2035 [5]. Group 2: Societal Impact and Governance - By 2035, AI is anticipated to help prevent over 80% of chronic diseases, shifting health management from reactive to proactive approaches [5]. - Over 90% of Chinese households are expected to have smart robots, indicating a shift towards immersive technological experiences in daily life [5]. - AI-driven autonomous decision-making organizations will reshape production paradigms, with AI application rates exceeding 85% and productivity improvements of 60% [5]. - The integration of "AI for all" and "AI for good" into governance frameworks is essential for humanity to maintain control over technology and build a human-centered intelligent world [6]. Group 3: Global Digitalization Index - Huawei has upgraded the Global Digital Index (GDI) to the Global Intelligence Index (GDII), which evaluates digital economic development through new production factors: data, ICT talent, and intelligent production tools [8]. - The GDII model includes key indicators such as data scale, application levels, network connectivity, computing power, and ICT skills, providing a comprehensive assessment for countries to navigate the digital economy [8]. - The report aims to offer insights for countries to develop precise industrial strategies and advance in the wave of digitalization [8].